Evidence map›Paper›PMID 36249138›Full record

ArticleAnesthesia, essays and researches

Prevalence of Chronic Postsurgical Pain among Cancer Patients: A Cross-Sectional Study.

Mahmoud I Ramadan, Hussein Y Abu Khudair, Abdullah T Obaid, Ola A Yousef, Raja A Sammour

Open access · greenAbstract read
In one paragraph

Article in Anesthesia, essays and researches. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Cancer pain.Nature reviews. Disease primers · 2026
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Mahmoud I RamadanKing Hussein Cancer Center, Amman, Jordan.
Hussein Y Abu KhudairKing Hussein Cancer Center, Amman 11941, Jordan.
Abdullah T ObaidKing Hussein Cancer Center, Amman, Jordan.
Ola A YousefKing Hussein Cancer Center, Amman, Jordan.
Raja A SammourIndependent Scholar, Research Projects, Amman, Jubeiha Jordan.
King Hussein Cancer Center · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer patients accept surgeries as part of their treatment. They may not be aware of the possibility of surgical pain persisting long after the surgery. Understanding chronic postsurgical pain is essential for effective pain management. Aims: We aimed to assess the prevalence of chronic postsurgical pain in cancer patients and the associated symptom burden. Settings and Design: This study was carried out at a tertiary cancer center. It was a cross-sectional study. Materials and Methods: Participants who underwent surgeries were asked to provide feedback on the MD Anderson Symptom Inventory at 3 months. Statistical Analysis Used: Descriptive statistics were used. Statistical tests included Kruskal-Wallis test, Chi-square test, Fisher's exact test, and Spearman's correlation. Logistic regression was used to assess the influence of variables on the presence or absence of chronic postsurgical pain. Results: Nine hundred and eighteen participants completed the study. Ninety-two percent ( Conclusions: The prevalence of chronic postsurgical pain at 3 months in this study is lower than the rates in the literature. It is still associated with symptom burden that interferes with daily life. The risk of developing chronic postsurgical pain increases with thoracic and orthopedic surgeries. The risk may be lowered with epidural analgesia.

Indexed as

Cancer patientschronic postsurgical painpersistent postsurgical painsurgery

Identifiers

PMID36249138
PMCPMC9558672
OpenAlexW4285180962

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.